System and Method for Customized Experiences in a Shared Online Environment

ABSTRACT

There is provided a system and method for providing customized experiences to a plurality of client stations in a shared environment. There is provided an accounts database having data relating to a plurality of clients, an online server having a server processor and hosting the shared environment for access by the plurality of client stations, and an online client application for execution by a client processor of a client station. The server processor is configured to retrieve client data from the accounts database relating to a client, determine client preferences of the client based on the client data, create a customized environment from the shared environment according to the client preferences, and send the customized environment to the online client application of a client station associated with the client for rendering the customized environment on a client display. User interactions may be filtered to maintain a shared environment perception.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The present invention relates generally to networking. More particularly, the present invention relates to methods of presenting online information.

2. Background Art

Networked applications present many advantages over traditional methods of presentation. For example, live lectures must generally be tailored to an anticipated lowest common denominator audience, often resulting in alienating large segments of the audience. Some may find the pace of the lecture languid, while others may find themselves hopelessly lost and discouraged. Similarly, a customer shopping in a large discount store might feel lost, overwhelmed, or apathetic, being presented with a huge inventory aimed for a broad audience rather than tailored to the particular interests of the customer. Traditional methods of presentation have typically treated audiences in the aggregate, marginalizing the unique needs of individuals.

On the other hand, networked applications can provide customized results tailored to particular interests or preferences of users, allowing highly relevant and compelling content delivery that engages users as individuals. By leveraging volunteered user information and tracking user behavior over a period of time, user preferences may be ascertained with increasing accuracy, encouraging user retention and repeat visits. Aggregate data concerning groups of users with common traits can also provide big picture trends, insights, and other data helpful for predicting the needs of users.

While networked applications can provide a very individualistic presentation as described above, networked applications can also bring diverse people together, providing group benefits by encouraging a sense of shared camaraderie and community. The explosion of socially focused applications on the Internet such as networking websites, friend groups, instant messaging chat, bulletin boards, online games, and many other social applications show that networked applications can foster all types of social online communities. Often, these shared social environments concern some common interest or hobby, allowing the formation of enthusiastic and focused groups for a wide range of topics.

One angle not commonly approached due to execution difficulties is the combination of customized individual personalization within a shared social environment. In shared social environments, group dynamics often exert predominant control, with less opportunity for individuals to have customized experiences tailored to their specific interests, as those specific interests may be irrelevant or contravene the group ethos. If an individual strays too far from common bonding elements of the shared social environment, the individual may end up voluntarily or forcibly parting ways with the group, sacrificing many social benefits. Thus, it has been difficult to reconcile customized individual personalization within a shared social environment due to the conflicting needs of groups and individuals.

Accordingly, there is a need to overcome the drawbacks and deficiencies in the art by providing a way to combine customized experiences within a shared online environment, allowing users to enjoy the benefits of group participation without sacrificing compelling individualized content.

SUMMARY OF THE INVENTION

There are provided systems and methods for providing customized experiences in a shared online environment, substantially as shown in and/or described in connection with at least one of the figures, as set forth more completely in the claims.

BRIEF DESCRIPTION OF THE DRAWINGS

The features and advantages of the present invention will become more readily apparent to those ordinarily skilled in the art after reviewing the following detailed description and accompanying drawings, wherein:

FIG. 1 presents a block diagram of a network environment supporting customized experiences in a shared online environment, according to one embodiment of the present invention;

FIG. 2 presents a flowchart showing preference-based substitution of online assets to provide customized experiences in a shared online environment, according to one embodiment of the present invention;

FIG. 3 presents a block diagram of a network environment supporting filtering of client interactions to maintain a perception of a shared environment among client stations, according to one embodiment of the present invention; and

FIG. 4 shows a flowchart describing the steps, according to one embodiment of the present invention, by which a server processor of an online server can provide customized experiences for client stations in a shared online environment.

DETAILED DESCRIPTION OF THE INVENTION

The present application is directed to a system and method for providing customized experiences in a shared online environment. The following description contains specific information pertaining to the implementation of the present invention. One skilled in the art will recognize that the present invention may be implemented in a manner different from that specifically discussed in the present application. Moreover, some of the specific details of the invention are not discussed in order not to obscure the invention. The specific details not described in the present application are within the knowledge of a person of ordinary skill in the art. The drawings in the present application and their accompanying detailed description are directed to merely exemplary embodiments of the invention. To maintain brevity, other embodiments of the invention, which use the principles of the present invention, are not specifically described in the present application and are not specifically illustrated by the present drawings.

FIG. 1 presents a block diagram of a network environment supporting customized experiences in a shared online environment, according to one embodiment of the present invention. Network environment 100 includes online server 110, accounts database 120, network 130, client station 150 a, client station 150 b, client station 150 c, display 160 a, display 160 b, and display 160 c. Online server 110 includes server processor 111 and server memory 115. Server memory 115 includes online service application 116 and shared environment 117. Accounts database 120 includes client data 121. Client station 150 a includes client processor 151 a, online client application 156 a, and customized environment 157 a. Client station 150 b includes client processor 151 b, online client application 156 b, and customized environment 157 b. Client station 150 c includes client processor 151 c, online client application 156 c, and customized environment 157 c.

Network environment 110 shows a high level diagram of online application 116 providing shared environment 117, such as a virtual world or multiplayer online game, for a plurality of client stations, shown as client station 150 a to 150 c. Online server 110, although shown as a single server, could also comprise multiple servers for load distribution and modularization of server tasks. Server processor 111 accesses server memory 115 to execute online service application 116, which handles network communications between online server 110 and client station 150 a to 150 c via network 130. Network 130 might comprise a publicly accessible network such as the Internet. Accounts database 120 includes client data 121, which may include registration and security information for authentication, personal information, access history logs, and online avatar or persona state information such as virtual items, character appearance, and attribute statistics. It may be assumed that each user for client station 150 a to 150 c have already registered an account with accounts database 120, possibly by a web based registration interface or directly through an online client application.

Client station 150 a to 150 c might each comprise a computing platform such as a personal computer, a video game console, a portable gaming system, a mobile phone, or a mobile Internet device (MID). Client station 150 a contains client processor 151 a for executing online client application 156 a, which interfaces with online service application 116. It might be assumed that as part of the user account registration process, each user has already downloaded and installed online client application 156 a to 156 c. Alternatively, the online client application might be dynamically downloaded, as for example, a Flash or Java application. In this alternative approach, each client station may access a web server providing a dynamically downloadable online client application.

By interfacing with online service application 116, client processor 151 a can receive customized environment 157 a, which is then sent to display 160 a to be rendered as render 167 a. Display 160 a can comprise an external or integrated display such as an LCD screen, and render 167 a might comprise a two or three dimensional image render of customized environment 157 a. The properties of client station 150 a as described above could also be applicable to client station 150 b, client station 150 c, and any other client station connected to online server 110.

Before online server 110 allows a client station to connect, it may first authenticate the client station by accessing accounts database 120 to check user provided credentials against client data 121. For example, a user of client station 150 a might be asked for a username and password, which are stored in encrypted form in client data 121. Once the user provides login credentials, server processor 111 may validate those login credentials against client data 121 to authenticate the client station. In this manner, a user can access online service application 116 from any arbitrary client station.

In a traditional shared online environment, client station 150 a to 150 c may request shared environment 117 for direct rendering on display 160 a to 160 c, respectively. Thus, assuming that each avatar representation for client station 150 a to 150 c is positioned within close proximity in shared environment 117, then each client station may have similar virtual viewpoints for shared environment 117. Thus, online client application 156 a to 156 c may output render 167 a to 167 c quite similarly. For example, if there happens to be a palm tree shared within the virtual viewpoints of each client station, then that same palm tree may be rendered in render 167 a to 167 c. Of course, due to performance differences between client processor 151 a to 151 c and display 160 a to 160 c, renders 167 a to 167 c may differ in graphical detail and quality, but they still all depict the same palm tree. No client station attempts to render a different object, such as a cactus, for example.

On the other hand, in the embodiment shown in FIG. 1, each client station is capable of rendering its own particular customized viewpoint. Client station 150 a renders customized environment 157 a as render 167 a, client station 150 b renders customized environment 157 b as render 167 b, and client station 150 c renders customized environment 157 c as render 167 c. The particular modifications made from shared environment 117 to result in a particular customized environment depend on data stored in client data 121, detailed in FIG. 2 below.

FIG. 2 presents a flowchart showing preference-based substitution of online assets to provide customized experiences in a shared online environment, according to one embodiment of the present invention. Flowchart 200 includes client data 221, shared environment 217, client application 216, client A preferences 223 a, client B preferences 223 b, client C preferences 223 c, customized environment 257 a, customized environment 257 b, and customized environment 257 c. Client data 211 includes client A data 222 a, client B data 222 b, and client C data 222 c.

Client data 221 corresponds to client data 121 from FIG. 1. Shared environment 217 corresponds to shared environment 117. Online service application 216 corresponds to online service application 116. Customized environment 257 a to 257 c corresponds to customized environment 157 a to 157 c, respectively. Several components of FIG. 1 have been simplified or eliminated in flowchart 200 for purposes of clarity. Additionally, although each environment in FIG. 2 is shown with a corresponding graphical depiction, the actual data for each environment may simply contain binary data to be passed to a renderer such as online client application 156 a, which is interpreted and rendered on display 160 a to generate an actual image as render 167 a. Thus, the environments shown in FIG. 2 do not necessarily imply that environments are transferred as pre-rendered graphical images.

A display rendering shared environment 217 may look similar to the depiction shown in shared environment 217, having several identifiable objects. Anthropomorphic virtual avatars for each client station are shown, including client A, client B, and client C. All the virtual avatars appear to be situated in a shared room, with a painting on the left wall, a clock on the right wall, and a pet cat on the ground.

As previously discussed, in a traditional shared online environment, each client station might render a scene from an attached display that looks similar to shared environment 217. Thus, every client station renders the same pet cat, the same painting, the same clock, and the same virtual avatars for clients A, B, and C.

On the other hand, with the support of client data 221 and online service application 216 executing on an omitted online server, preferences of each client can be determined, and thus online service application 216 can provide each client station with a customized environment tailored to the preferences of a particular user account associated with a client station.

For example, a survey of favorite pets among registered users might be conducted, with survey results being deposited in appropriate accounts within client data 221. If a user chooses to ignore the survey, other ways of gathering user information indicating preferences may also be used, such as analyzing user account information from an affiliated service, examining e-commerce activity, or tracking past user behavior.

As shown by customized environment 257 a, client A might prefer cats as pets, while customized environment 257 b might indicate that client B likes dogs as pets, and customized environment 257 c may indicate that client C prefers keeping fish in an aquarium. In other words, client A preferences 223 a may comprise “likes pet cats,” whereas client B preferences 223 b may comprise “likes pet dogs,” and client C preferences 223 c may comprise “likes keeping fish in aquariums.” Client A preferences 223 a to 223 c might be derivable from client A data 222 a to 222 c, respectively.

For example, client A may have provided a straightforward answer to the above survey, indicating a preference for cats. In this case, it is trivial to determine client A preferences 223 a, as it is explicitly stated within client A data 222 a. On the other hand, client B may have ignored the survey, or the survey may have ended up caught in a junk mail filter, never to be read.

Thus, to determine client B preferences 223 b, other data points stored in client B data 222 b might be utilized by online service application 216. For example, perhaps online service application 216 allows each client to have their own room to customize and decorate, as well as visiting rooms of other clients to interact with the furniture and items stored in their rooms. Additionally, perhaps each user is given the option of having a particular pet, and users can interact with the pet by playing with it or petting it. These actions might be stored in an activity log within an associated user account. Thus, for example, client B data 222 b might indicate that client B tends to interact with dog pets versus cat pets or other types of pets, from which a preference for dog pets might be deduced as client B preferences 223 b.

Client C might have ignored the survey as well, so client C preferences 223 c needs to be deduced as well. For example, if client C purchased fish food from an affiliated pet goods e-commerce website, it might be deduced that client C keeps pet fish at home and thereby probably prefers fish over other pets. Another example might extrapolate deductions from data concerning a particular group or demographic client C may be belong to. This data might exist from existing data sets in client data 221, or be retrieved from external sources.

For example, through data mining, it might be observed that for whatever reason, males aged 40 through 50 who live on the east coast tend to prefer keeping fish to other pets. Thus, these relationship factors might be weighted against any personal information available about client C in client C data 222 c to determine client C's affinity towards keeping fish. Assuming some personal details were voluntarily provided as part of the registration process, client C may have indicated gender as male, age as 45, and residence in Rhode Island, all factors indicating membership within the “40-50s male east coaster fish preference” relationship. Whether that relationship is actually reliable may be another question, but online service application 216 may also assign a probability weighting for particular relationships indicating confidence in relationship accuracy. Perhaps, for some reason, this relationship has been proven by many independent data points, and is thus deemed highly reliable. If this is the case, online service application 216 might conclude fairly conclusively that client C preferences 223 c should indicate a bias for keeping fish in aquariums.

If, on the other hand, absolutely no data pointing to a preference either way can be derived, a default might be assumed, or the customization step may be bypassed. For example, if client A data 222 a is a blank slate with only minimal information required to register an account, there may not be enough data to make any preference determinations. In that case, a default of “prefer cats as pets” might be assumed, or shared environment 217 might be provided directly for rendering, skipping customization.

Once each client's preferences are derived, they may be used by online service application 216 to modify shared environment 217 for each client station. Thus, the pet of shared environment 217 is changed to match an estimated user preference at each client station. The level of customization provided might be user adjustable, or specified by server administrators. In an environment with high levels of customization, each customized environment may look completely different from a corresponding shared environment. On the other hand, in an environment using low levels or subtle usage of customization, only a few elements might be modified among customized environments.

In FIG. 2, it can be observed that only the type of pet is changed between customized environments, whereas the virtual avatars, the painting, and the clock remain static. Alternative embodiments may customize shared environment 217 drastically by changing several elements, just a few, or something in-between. For example, each painting might be matched with client art sensibilities; the clock may be changed to a digital clock or analog clock depending on the client's age generation; virtual avatars might dress or appear differently depending on client fashion sense. Thus, although each client is participating in a shared space represented by shared environment 217, each client also has their own preference-based personalized custom view of shared environment 217, represented by customized environment 257 a to 257 c.

FIG. 3 presents a block diagram of a network environment supporting filtering of client interactions to maintain a perception of a shared environment among client stations, according to one embodiment of the present invention. Network environment 300 includes online server 310, network 330, client station 350 a, client station 350 b, and client station 350 c. Online server 310 includes shared environment 317, interaction data filter 318, and online service application 316. Client station 350 a includes customized environment 357 a, which includes interaction 358 a. Client station 350 b includes client processor 351 b, online client application 356 b, customized environment 357 b, and interaction data 359 b. Customized environment 357 b includes interaction 358 b.

One problem with providing drastic or even subtly differing environments for different clients is the issue of nevertheless maintaining a perception of a shared environment. In a traditional shared online environment, this is generally not an issue as each client shares largely the same exact view of the shared environment. On the other hand, by starting with a shared environment but customizing views for individual client stations, there is the risk of having client stations interacting in a manner that is incoherent or jarring to other client stations with differing customized environments.

While this problem may be partially avoided by restricting interaction to pre-selected and approved phrases and actions, this severely limits the freedom of users. For some users, the ability to speak and act freely may comprise the sine qua non of the online experience, particularly in a shared social context. Thus, restricting users to select only canned phrases or actions may not provide enough freedom to engage in meaningful social relations.

One alternative method for maintaining the perception of a shared environment may include applying a filter for user actions and appropriately changing the user actions depending on whether the user actions are specific to a customized environment. In other words, user actions that are consistent with the view of the shared environment among all connected client stations can be passed as usual, but other user actions specific to a particular customized environment may need to be examined and filtered accordingly.

For example, interaction 358 b comprises a user, client B of client station 350 b, engaging in a chat function of online client application 356 b to broadcast a public message to all other users within shared environment 317, including client A of client station 350 a and client C of client station 350 c. As shown in FIG. 3, client B or user B broadcasts the public message, “Isn't that a cute dog! What kind of flower is in that painting?” If this message was broadcasted unmodified to client station 350 a and client station 350 c, the first half regarding the dog would make no sense since as far as client A is concerned, there is only a cat in customized environment 357 a, and as far as client C is concerned, there is only a fish in customized environment 357 c.

However, since all client stations observe a shared view of the flower painting, the second half of the broadcasted message concerning the flower still makes sense. Similarly, if client B made a statement about the wall clock to the right, there would be little risk of broadcasting an incoherent or jarring message, as all client stations see the same wall clock. Elements from shared environment 317 that are not customized for client stations can be handled as usual in the traditional shared environment model. This is not to imply that filtering is not used at all, as obscenity filters or other forms of general moderation may still apply for all clients. However, as far as filtering for maintaining an impression of a shared environment, elements that remain static from shared environment 317 might be safely ignored.

Thus, the statement regarding the pet may need to be modified in some manner before being broadcasted to client station 350 a and client station 350 c. One possible solution is to implement a translation filter for interaction data filter 318, where actions specific to one client station are translated to appropriate actions for other client stations. Thus, when online server 310 retrieves interaction data 359 b from client station 350 b, online service application 316 can compare interaction data 359 b against customized environment 357 a and customized environment 357 c to generate appropriate translated interaction data for client station 350 a and client station 350 c. Thus, online service application 316 can generate interaction 358 a for client station 350 a, where “dog” is replaced with “cat,” and interaction 358 c for client station 350 c, where “dog” is replaced with “fish,” thus conforming to client expectations of a consistent shared environment.

Besides text or speech filtering, action filtering could also be implemented by interaction data filter 318. For example, instead of commenting about the dog, perhaps user B decides to pet the dog. This interaction could be translated into petting the cat for client station 350 a, or making fish faces for the fish in client station 350 c. Another example might involve feeding the pet. Whereas user B might see his virtual avatar giving the dog a bone, that same action might be represented as user B giving the cat a bowl of milk in customized environment 357 a, or as user B dropping fish food in the aquarium of customized environment 357 c.

In addition to translating actions to suit particular customized environments for different client stations, interaction data filter 318 could also make such actions generally applicable for shared environment 317. In other words, rather than making actions specific for each environment, actions are made general to suit any environment. For example, interaction 358 b could be modified so that user B simply says, “Isn't that a cute pet!” Since the word “pet” is generally applicable for shared environment 317 even after customization for different client systems, there is no incompatibility with sending this generalized message for all client stations.

Ignoring or deleting interactions completely is another option, although such an extreme measure might be reserved only as a fallback for unexpected interactions. For example, the entire first sentence of interaction 358 b relating to the dog could be stricken, leaving only the statement regarding the painting intact. Thus, as far as client station 350 a and client station 350 c are concerned, user B made no comment about the pet at all. Although this method might still elicit some awkwardness if user B is expecting a response regarding the dog, it may still outweigh the awkwardness of having user A and user C receive a message incompatible with their respectively customized environments.

FIG. 4 shows a flowchart describing the steps, according to one embodiment of the present invention, by which a server processor of an online server can provide customized experiences for client stations in a shared online environment. Certain details and features have been left out of flowchart 400 that are apparent to a person of ordinary skill in the art. For example, a step may comprise one or more substeps or may involve specialized equipment or materials, as known in the art. While steps 410 through 440 indicated in flowchart 400 are sufficient to describe one embodiment of the present invention, other embodiments of the invention may utilize steps different from those shown in flowchart 400.

Referring to step 410 of flowchart 400 in FIG. 4 and network environment 100 of FIG. 1, step 410 of flowchart 400 comprises server processor 111 of online server 110 retrieving client data 121 from accounts database 120 relating to a client of client station 150 a, referred to as user A or client A. Server processor 111 may be executing online service application 116, which in turn requests client data from accounts database 120 concerning all client stations connected by a publicly accessible network 130, including client station 150 a to 150 c. Accounts database 120 may actually be hosted as part of online server 110, or may be hosted elsewhere on a dedicated database server or a distributed cluster of database servers. Similarly, online server 110 may actually comprise multiple servers for providing distributed computational resources for online service application 116. After online server 110 retrieves client data 121, it may store data in server memory 115 indicating, as previously discussed, that client A answered a pet preference questionnaire indicating a preference for cats.

Referring to step 420 of flowchart 400 in FIG. 4 and flowchart 200 of FIG. 2, step 420 of flowchart 400 comprises a server processor of an online server executing online service application 216 determining client A preferences 223 a based on the client data retrieved from step 410. If client data 221 corresponds to client data 121 from FIG. 1, then client A data 222 a may indicate that client A answered a pet preference questionnaire indicating a preference for cats. Client A data 222 a may already be stored in a memory accessible to online service application 216 as a result of step 410. Thus, client A preferences 223 a can be determined straightforwardly as the preferences of client A are specified explicitly from the questionnaire. In less clear situations, as previously discussed, online service application 216 may have to process implicit data contained in client A data 222 a, including behavioral tracking and marketing information from affiliated partners, to determine a best guess as to what client A preferences 223 a should be. If no implicit data is available, then a default preference or some other fallback mechanism may be substituted.

Referring to step 430 of flowchart 400 in FIG. 4 and network environment 300 of FIG. 3, step 430 of flowchart 400 comprises a server processor of online server 310 executing online service application 316 creating customized environment 357 a from shared environment 317 according to the user preferences determined in step 420. Since step 420 indicates that client A prefers cats, customized environment 257 a is created such that whatever pet existing in shared environment 217 is customized in favor of cats. Since shared environment 217 already contains a cat by default, step 430 does not actually modify shared environment 217 in this case, but if shared environment 217 contained no default pet or a different default pet, then the pet would be replaced with a cat to align with the preferences determined from step 420.

Referring to step 440 of flowchart 400 in FIG. 4 and network environment 100 of FIG. 1, step 440 of flowchart 400 comprises server processor 111 of online server 110 sending customized environment 157 a to online client application 156 a executing on client processor 151 a of client station 150 a. As shown in FIG. 1, step 440 has already been accomplished, as client station 150 a already has access to customized environment 157 a. This can be accomplished by using the connection between online service application 116 and online client application 156 a via network 130 as a data pipe for transfer of customized environment 157 a. Online client application 156 a can then interpret customized environment 157 a to generate render 167 a, which is sent to display 160 a, thereby providing a customized experience for client A. Steps 410 to 440 could also be applicable for client B and client C, or client station 150 b and client station 150 c, respectively.

However, one problem after providing customized environments resulting from step 440 may involve gracefully interpreting client interactions with different customized environments such that the perception of a shared online environment is nevertheless maintained. As previously discussed, some techniques might include translating actions for each client station, making actions generically applicable to the shared environment accessible to all client stations, or simply deleting or ignoring actions that may suspend disbelief in a shared online environment. These techniques may be implemented as part of interaction data filter 318 of FIG. 3, which is accessible from online service 316 executing on a server processor of online server 310. If interaction data filter 318 provides accurate and seamless filtering for online service application 316, then clients can transparently enjoy the benefits of personalized customization while addressing the human need for communication and companionship via social networks provided by a shared online environment.

From the above description of the invention it is manifest that various techniques can be used for implementing the concepts of the present invention without departing from its scope. Moreover, while the invention has been described with specific reference to certain embodiments, a person of ordinary skills in the art would recognize that changes can be made in form and detail without departing from the spirit and the scope of the invention. As such, the described embodiments are to be considered in all respects as illustrative and not restrictive. It should also be understood that the invention is not limited to the particular embodiments described herein, but is capable of many rearrangements, modifications, and substitutions without departing from the scope of the invention. 

1. A system for providing customized experiences to a plurality of client stations in a shared environment, the system comprising: an online client application for execution by a client processor of a client station and for rendering the shared environment on a client display of the client station; an accounts database having data relating to a plurality of clients; and an online server hosting the shared environment for access by the plurality of client stations, and the online server having a server processor configured to: retrieve client data from the accounts database relating to a first client of the plurality of clients; determine client preferences of the first client based on the client data; create a customized environment from the shared environment according to the client preferences; and send the customized environment to the online client application executing on the client station of the first client for rendering on the client display.
 2. The system of claim 1, wherein the server processor is further configured to: receive interaction data from the online client application, the interaction data having interactions specific to the customized environment; and affect the plurality of client stations based on the interaction data.
 3. The system of claim 2, wherein prior to affecting the plurality of client stations, the server processor is further configured to: filter the interaction data specific to the customized environment to maintain a perception of a shared environment for the plurality of client stations.
 4. The system of claim 3, wherein the server processor is configured to filter the interaction data by: modifying the interactions to be generally applicable to the shared environment.
 5. The system of claim 3, wherein the server processor is configured to filter the interaction data by: discarding the interactions.
 6. The system of claim 3, wherein the server processor is configured to filter the interaction data by: translating the interactions separately for each of the plurality of client stations.
 7. The system of claim 1, wherein the server processor is configured to determine client preferences by weighting group demographic relationship data against the client data.
 8. The system of claim 1, wherein the server processor is configured to create the customized environment by substituting custom audio or visual assets in the shared environment.
 9. An online server for providing customized experiences to a plurality of client stations in a shared environment, each of the plurality of client stations including an online client application for execution by a client processor and for rendering the shared environment on a client display, and each client of a plurality of clients having client data in an accounts database account data, the online server comprising: a memory configured to host the shared environment for access by the plurality of client stations; and a server processor configured to: retrieve client data from the accounts database relating to a first client of the plurality of clients; determine client preferences of the first client based on the client data; create a customized environment from the shared environment according to the client preferences; and send the customized environment to the online client application executing on the client station of the first client for rendering on the client display.
 10. The online server of claim 9, wherein the server processor is further configured to: receive interaction data from the online client application, the interaction data having interactions specific to the customized environment; and affect the plurality of client stations based on the interaction data.
 11. The online server of claim 10, wherein prior to affecting the plurality of client stations, the server processor is further configured to: filter the interaction data specific to the customized environment to maintain a perception of a shared environment for the plurality of client stations.
 12. The online server of claim 11, wherein the server processor is configured to filter the interaction data by: modifying the interactions to be generally applicable to the shared environment.
 13. The online server of claim 11, wherein the server processor is configured to filter the interaction data by: discarding the interactions.
 14. The online server of claim 11, wherein the server processor is configured to filter the interaction data by: translating the interactions separately for each of the plurality of client stations.
 15. The online server of claim 9, wherein the server processor is configured to determine client preferences by weighting group demographic relationship data against the client data.
 16. The online server of claim 9, wherein the server processor is configured to create the customized environment by substituting custom audio or visual assets in the shared environment.
 17. A method for a server processor of an online server to provide customized experiences to a plurality of client stations in a shared environment, the online server having a memory configured to host the shared environment for access by the plurality of client stations, each of the plurality of client stations including an online client application for execution by a client processor and for rendering the shared environment on a client display, and each client of a plurality of clients having client data in an accounts database account data, the method comprising: retrieving client data from the accounts database relating to a first client of the plurality of clients; determining client preferences of the first client based on the client data; creating a customized environment from the shared environment according to the client preferences; and sending the customized environment to the online client application executing on the client station of the first client for rendering on the client display.
 18. The method of claim 17, wherein the method further comprises: receiving interaction data from the online client application, the interaction data having interactions specific to the customized environment; and affecting the plurality of client stations based on the interaction data.
 19. The method of claim 18, wherein prior to affecting the plurality of client stations, the method further comprises: filtering the interaction data specific to the customized environment to maintain a perception of a shared environment for the plurality of client stations.
 20. The method of claim 19, wherein the server processor is configured to filter the interaction data by: translating the interactions separately for each of the plurality of client stations. 